EP3981068A1 - Method for estimating the electomagnetic torque of a synchronous electric machine - Google Patents
Method for estimating the electomagnetic torque of a synchronous electric machineInfo
- Publication number
- EP3981068A1 EP3981068A1 EP20726497.9A EP20726497A EP3981068A1 EP 3981068 A1 EP3981068 A1 EP 3981068A1 EP 20726497 A EP20726497 A EP 20726497A EP 3981068 A1 EP3981068 A1 EP 3981068A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- machine
- stator
- model
- magnetic
- saturation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000001360 synchronised effect Effects 0.000 title claims abstract description 17
- 230000004907 flux Effects 0.000 claims abstract description 42
- 238000005259 measurement Methods 0.000 claims abstract description 4
- 230000000694 effects Effects 0.000 description 7
- 229920006395 saturated elastomer Polymers 0.000 description 4
- 238000004088 simulation Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000012885 constant function Methods 0.000 description 2
- 238000002347 injection Methods 0.000 description 2
- 239000007924 injection Substances 0.000 description 2
- 101001134276 Homo sapiens S-methyl-5'-thioadenosine phosphorylase Proteins 0.000 description 1
- 102100022050 Protein canopy homolog 2 Human genes 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/13—Observer control, e.g. using Luenberger observers or Kalman filters
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
- H02P21/20—Estimation of torque
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/12—Observer control, e.g. using Luenberger observers or Kalman filters
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/14—Estimation or adaptation of motor parameters, e.g. rotor time constant, flux, speed, current or voltage
Definitions
- the invention relates to a method for estimating the electromagnetic torque of a three-phase synchronous electric machine and, in particular, of a three-phase synchronous electric machine with permanent magnets (MSAP).
- MSAP three-phase synchronous electric machine with permanent magnets
- the mechanical driving power of the machine is obtained from a torque meter, which measures the torque on the shaft.
- a torque estimator is designed to estimate the actual value of the torque supplied by the electrical machine using certain variables
- stator of a three-phase synchronous electric machine with permanent magnets from two-phase voltages and currents are classified into
- SUBSTITUTE SHEET (RULE 26) two categories, respectively based on a voltage model and on a current model.
- the electromotive force is calculated using the voltages and currents measured in the frame linked to the stator. Then, the stator flux is obtained by calculating the integral of the electromotive force.
- this estimate based on the voltage model requires solving several problems. In particular, a problem to be solved is to consider the saturation functions in the machine model used, as well as the conditions
- Another problem to be solved is to maintain low observability.
- Document US9985564 describes a method for estimating the stator flux of a three-phase synchronous electric machine with permanent magnets, based on the voltage model in the two-phase reference a, b. Instead of using a pure integrator to integrate the electromotive force, he suggests using a low-pass filter for electromotive force, then adding a compensator to correct the
- Document CN 103346726 also proposes to estimate the flow of a
- Document US7098623 describes a method for estimating the position of the rotor by estimating the stator fluxes with the voltage model in the two-phase reference d, q. It offers adaptive flow observation based on the injection of high frequency signals at low speed.
- Document EP1513250 describes a method of combining the methods for estimating the flux by voltage model and the injection of high frequency signals to estimate the position.
- the flux is estimated using the currents, preferably in the frame linked to the rotor.
- These methods based on the current model make it possible to overcome the limitations mentioned above related to the methods based on the voltage model, because they do not involve the use of open-loop integrators.
- the problems to be solved with regard to these methods relate to variations in inductances due to magnetic saturation, uncertainties in permanent magnet flux, and the need for a position sensor.
- Document US7774148 describes a method for estimating the torque of a three-phase synchronous electric machine with permanent magnets, based on an estimation of stator flux using the current model.
- the flows of the d and q axes are represented by two functions of the nonlinear currents.
- Document CN103872951 describes a torque estimator of a three-phase synchronous electric machine with permanent magnets, based on an estimation of stator flux with an observer by sliding mode applied to a voltage model combined with a current model.
- the document JP2004166408 describes an adaptive stator flux estimator for a three-phase synchronous electric machine with permanent magnets, based on the voltage model with a correction term based on the current model.
- An object of the invention is a method of estimating the torque
- the currents and voltages are measured at the level of the phases of the stator of the machine in a fixed three-phase reference linked to the stator,
- SUBSTITUTE SHEET (RULE 26) the currents and voltages at the level of the phases of the stator are determined in a rotating two-phase frame linked to the rotor as a function of the current and voltage measurements in the three-phase frame, a stator flux-current model of the machine is determined, taking into account the saturation functions of the machine, in order to consider in the model variations in magnetic parameters of the machine caused by the magnetic saturation of the machine, state variables are introduced into the model describing the parametric uncertainties inherent in the variations of the parameters magnetic values of the machine, we estimate said state variables in the model by an observer as a function of the stator currents and voltages expressed in the rotating two-phase frame of reference linked to the rotor, the stator flux is calculated from the estimated state variables, and the electromagnetic torque is calculated from the calculated stator flux.
- the observer is adjusted by a Kalman-type algorithm.
- the setting of the observer comprises receiving the angular speed of the rotor as input to the system.
- the gain of the observer is variable over time.
- the magnetic parameters considered are the
- the saturation functions represent the saturation
- FIG. 1 is a current-flux card for a synchronous electric machine with permanent magnets very saturated and tested in simulation
- FIG. 2 is a graphical representation of the variation of the torque, real and estimated, generated by the machine simulated in Figure 1, illustrating the effects on the torque estimate obtained from the parametric uncertainties and the saturation functions considered in the model of the machine, without the observation of the state variables introduced into the model, describing these uncertainties
- FIG. 3 is a graphical representation of the variation of the torque, real and estimated, generated by the machine simulated in Figure 1, illustrating the effects on the torque estimate obtained from the parametric uncertainties and the saturation functions considered in the model of the machine, with implementation, according to the principles of the invention, of the observation of the state variables introduced into the model, describing these parametric uncertainties.
- Park's cue is based on a cue linked to the rotor.
- the unknown magnetic conditions that are considered are the linear inductances of the stator, the magnetic flux of the permanent magnets and the saturation functions of the machine, which
- SUBSTITUTE SHEET (RULE 26) machine on the two axes respectively direct d and in quadrature q of the Park plane of the machine, Rs the equivalent resistance of the stator of the machine, Ldo and Lqo the linear inductances of the stator on each axis respectively direct d and in quadrature q of the plane of the machine's Park, he magnetic flux generated by the permanent magnets of the rotor and w b the angular speed of the rotor.
- fsat (i, 2) are functions which represent the magnetic saturation
- the variables gi and g2 group together all the magnetic uncertainties of the machine, such as they result from the variations of the inductances due to the magnetic saturation and the uncertainties of the permanent magnet flux.
- the variables gi and g2 which we are going to observe, make it possible to represent the magnetic behavior of the machine, which varies because of the magnetic saturation.
- the introduction into the model of the parametric uncertainties, described by the variables gi and g2, makes it possible to translate the fact that the value of the magnetic parameters of the system (inductance and permanent magnet flux) can differ from the modeling because of the saturation of the machine.
- the Q and R matrices are positive defined symmetric weighting matrices.
- the overall stator fluxes can be calculated on the basis of equations (2) and (5) defined above.
- the electromagnetic torque generated by the synchronous electric machine with permanent magnets can then be calculated as follows:
- the uncertainties on the linear inductances, the magnetic flux of the permanent magnets or the saturation functions can be corrected by estimating the two variables gi and g2. With the help of the proposed observer, it is thus possible to calculate the flux and the electromagnetic torque generated by the machine even in case of uncertainty on the magnetic parameters concerning the linear inductors and the flux of permanent magnet, or of saturation of the machine.
- These parametric uncertainties can also be corrected when the parameters of linear inductance, permanent magnet flux, or saturation slowly change during machine motion.
- the parameters ki to ks are coefficients necessary to evaluate the saturation functions. More precisely, the parameters ki to ks are constant coefficients obtained empirically beforehand.
- FIG. 1 illustrates a current-flux map for the saturated machine tested in simulation.
- FIG. 2 is a graphic representation of the temporal variation of the real and estimated torques of the machine tested in simulation, including the current card.
- SUBSTITUTE SHEET (RULE 26) flow is shown in Figure 1, with a constant speed of 1000 rpm.
- the regions referenced 2 and 4, 3, and 5 in figure 2 show respectively the effect of the uncertainties on the linear inductors, the effect of the uncertainties on the magnetic flux generated by the permanent magnets and the consideration of saturation functions in the machine model, without observation of the two variables gi and Q2 introduced into the model of the machine in accordance with the invention.
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Control Of Ac Motors In General (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1905899A FR3097090B1 (en) | 2019-06-04 | 2019-06-04 | Method for estimating the electromagnetic torque of a synchronous electric machine |
PCT/EP2020/064454 WO2020244954A1 (en) | 2019-06-04 | 2020-05-25 | Method for estimating the electomagnetic torque of a synchronous electric machine |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3981068A1 true EP3981068A1 (en) | 2022-04-13 |
Family
ID=67514969
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20726497.9A Pending EP3981068A1 (en) | 2019-06-04 | 2020-05-25 | Method for estimating the electomagnetic torque of a synchronous electric machine |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP3981068A1 (en) |
KR (1) | KR20220016094A (en) |
FR (1) | FR3097090B1 (en) |
WO (1) | WO2020244954A1 (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4156500A4 (en) * | 2021-08-13 | 2023-08-23 | Contemporary Amperex Technology Co., Limited | Torque acquisition method and apparatus, motor controller, readable storage medium |
FR3128028B1 (en) * | 2021-10-13 | 2023-11-24 | Renault Sas | Method for estimating the electromagnetic torque of a synchronous machine with a wound rotor |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004166408A (en) | 2002-11-13 | 2004-06-10 | Yoichi Hayashi | Permanent magnet synchronous motor control method |
FI115873B (en) | 2003-09-05 | 2005-07-29 | Abb Oy | Method in connection with an open pole permanent magnet synchronous machine |
EP1653601B1 (en) | 2004-10-28 | 2009-04-01 | ABB Oy | Method for estimating the rotor speed and position of a permanent magnet synchronous machine |
US7774148B2 (en) | 2007-01-30 | 2010-08-10 | Gm Global Technology Operations, Inc. | Torque estimator for IPM motors |
DE102009001331A1 (en) * | 2009-03-04 | 2010-09-09 | Robert Bosch Gmbh | Method and device for angular sensorless position detection of the rotor shaft of a permanent magnet synchronous machine based on current signals and voltage signals |
CN102611381A (en) * | 2012-03-12 | 2012-07-25 | 浙江工业大学 | Direct torque control system of permanent-magnet synchronous motor |
CN103346726B (en) | 2013-07-08 | 2015-10-28 | 合肥工业大学 | Based on the permanent-magnetic synchronous motor stator Flux Observation Method of expansion flux observer |
CN103872951B (en) | 2014-04-23 | 2017-04-19 | 东南大学 | Permanent magnet synchronous motor torque control method based on sliding mode flux linkage observer |
CN104184382B (en) * | 2014-08-11 | 2017-02-15 | 天津大学 | Method for observing speed of permanent magnet motor |
FR3035755B1 (en) * | 2015-04-30 | 2018-04-27 | Renault S.A.S | METHOD FOR CONTROLLING A PERMANENT MAGNET SYNCHRONOUS ELECTRIC MACHINE FOR A MOTOR VEHICLE. |
US9985564B2 (en) | 2016-02-26 | 2018-05-29 | Steering Solutions Ip Holding Corporation | Flux estimation for fault tolerant control of PMSM machines for EPS |
CN107769636B (en) * | 2017-10-24 | 2019-11-22 | 西北工业大学 | A kind of position-sensor-free permanent magnet synchronous motor rotor position detection method |
-
2019
- 2019-06-04 FR FR1905899A patent/FR3097090B1/en active Active
-
2020
- 2020-05-25 KR KR1020217039877A patent/KR20220016094A/en unknown
- 2020-05-25 WO PCT/EP2020/064454 patent/WO2020244954A1/en unknown
- 2020-05-25 EP EP20726497.9A patent/EP3981068A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
KR20220016094A (en) | 2022-02-08 |
WO2020244954A1 (en) | 2020-12-10 |
FR3097090B1 (en) | 2021-05-21 |
FR3097090A1 (en) | 2020-12-11 |
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